Machine Learning Algorithms
By Corin Gainey
March 18, 2020 9 mins read
Lauren Shin, Neo4j Developer Relations Intern, introduces machine learning and offers three approaches to better analyze ML data.
Explore: artificial intelligence • Connected Data • data model • Data Visualization • Graph Analytics • graph database • graph visualization • graphconnect • machine learning • neo4j
GraphConnect 2020 Agenda: Everything You Need to Know
By Rachel Howard
March 6, 2020 < 1 min read
The health and safety of our community, partners and employees are of the utmost importance to Neo4j. After monitoring the COVID-19 situation closely, we have decided to postpone GraphConnect 2020 in New York City to 2021. We are actively scoping… Read more →
Explore: artificial intelligence • biotech • data discovery • Data Visualization • digital transformation • graph technology • graphconnect • Healthcare • Knowledge Graph • machine learning
The Graphie Awards: What They Are & How to Win One at GraphConnect 2020
By Bryce Merkl Sasaki
March 3, 2020 2 mins read
Learn how your Neo4j-powered project or application could be up for recognition with a Graphie Award at the GraphConnect 2018 conference in New York City.
Explore: Connected Data • data journalism • graph database • graph technology • graphconnect • Graphie Awards • Graphies • machine learning • neo4j • Neo4j Community
Relationships Mean Retention: The 5-Minute Interview with Realogy’s Neerav Vyas
By David Penick
February 28, 2020 4 mins read
In this week’s five-minute interview with Neerav Vyas (conducted at GraphTour NYC 2019), we discuss how Realogy Holdings uses graph technology.
Explore: 5-minute interview • ai • blog • cypher • Databricks • graph database • machine learning • spark
Ontologies in Neo4j: Semantics and Knowledge Graphs
By Corin Gainey
February 19, 2020 10 mins read
Jesús Barrasa presents the two biggest uses of ontologies in graphs using Neo4j and NeoSemantics; inferences and interoperability.
Explore: artificial intelligence • Big Data • Connected Data • graph technology • Knowledge Graph • machine learning • neo4j • ontologies • ontology
Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware
By David Penick
February 14, 2020 4 mins read
In this week’s five-minute interview with Michal (conducted at GraphTour NYC 2019), we discuss how his company, GraphAware, uses graph technology.
Explore: 5-minute interview • ai • data model • graph algorithms • graph database • GraphAware • java • Knowledge Graph • machine learning • Neo4j Community
Connecting Healthcare
By Allison Wu
January 28, 2020 17 mins read
Learn about connecting healthcare data, including its challenges and how graph databases might be able to help solve healthcare’s wicked problems.
Explore: artificial intelligence • Connected Data • data silos • data variability • Graph Databases • graphconnect • Healthcare • integration • machine learning • Relational Databases
Neo4j Staff Predictions for 2020
By Jocelyn Hoppa
January 8, 2020 6 mins read
A new year (let alone a new decade) is always a great time to reflect on the year gone past but also where we’re headed. We leaned on some of our most forward-thinking Neo4j colleagues – Amy Hodler, Michael Hunger… Read more →
Explore: ai • data science • data supply chain • GQL • graph algorithms • Graph Analytics • graph feature engineering • graph technology • machine learning • ML
The Top 7 Neo4j Videos of 2019
By Jessica Baumgardner
December 27, 2019 2 mins read
In lieu of our bi-weekly #GraphCast, we thought we would share some of the best Neo4j videos from 2019. Consider this an almost-New Year’s Eve celebration of all things video. (No order or favorites here. Just cool videos in a… Read more →
Explore: ai • artificial intelligence • data discovery • emil eifrem • GraphCast • Knowledge Graph • Lyft • machine learning • nasa • nodes
The Top 5 Neo4j Podcasts of 2019
By Bryce Merkl Sasaki
December 24, 2019 2 mins read
Catch up with all of the best episodes from the Neo4j Graphistania podcast during 2019, including episodes with the rebooted format and new co-host.
Explore: ai • data journalism • data science • graph algorithms • graph technology • Graphistania • information theory • machine learning • Neo4j Community • podcast
Graphs on GPUs: 5-Minute Interview with Saul Rosales
By David Penick
December 6, 2019 3 mins read
In this week’s five-minute interview (conducted at GraphTour DC 2019), we discuss how Saul Rosales and his team use Neo4j with Graphistry.
Explore: 5-minute interview • artificial intelligence • cybersecurity • data lakes • GPUs • graph database • graph technology • Graphistry • machine learning • Saul Rosales
Responsible AI: The Critical Need for Context (and Practical Tips)
By Jocelyn Hoppa
November 26, 2019 7 mins read
Read the second and final installment of this blog series on responisble AI, why context is critical to achieving responsible AI, and get practical tips.
Explore: ai and context • community detection • data lineage • data manipulation • fraud • graph algorithms • Graph Data • Graph Theory • healthcare data • machine learning
A Conversation with Graphs
By Corin Gainey
November 20, 2019 16 mins read
Editor’s Note: This presentation was given by Tatiana Hartinger at GraphConnect New York in September 2018. Presentation Summary Tatiana Hartinger is a mathematician and a Cognitive Solutions Consultant specializing in graph theory from Cognitiva. Cognitiva is using graphs to enhance… Read more →
Explore: ai • Connected Data • cypher • graph algorithms • Graph Databases • Graph Theory • graphconnect • json • machine learning • neo4j
Reveal Hidden Patterns In Healthcare Data: Graph Analytics and the Opioid Crisis
By Jocelyn Hoppa
November 19, 2019 8 mins read
Read this blog series to discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.
Explore: business intelligence • data scientists • graph algorithms • Graph Analytics • healthcare data • machine learning • neo4j • Neo4j Bloom • opioid crisis
Real Examples of Why We Need Context for Responsible AI
By Jocelyn Hoppa
November 12, 2019 8 mins read
Read part one of this two-part series on responsible AI. Discover real-world examples of the myths,., biases and more that currently surround AI.
Explore: ai myths • AI standards • artificial intelligence • biased ai • data scientists • inappropriate ai • machine learning • national institute for standards and tools • neo4j • NIST
On Graphs, AI and ML. Q&A with Alicia Frame
By ODBMS.org - October 21, 2019
Explore: ai • AI / Machine Learning • artificial intelligence • machine learning • ML
How Boston Scientific Improves Manufacturing Quality Using Graph Analytics
By Corin Gainey
October 16, 2019 20 mins read
Editor’s Note: This presentation was given by Eric Wespi and Eric Spiegelberg at GraphConnect New York in September 2018. Presentation Summary We’re going to talk about some project themes that make sense when you’re going about developing a graph project.… Read more →
Explore: artificial intelligence • Connected Data • cypher • graph database • GraphAware Hume • graphconnect • Hume • machine learning • neo4j • nlp
Live from Lyft: Q&A with Mark Grover, Product Manager at Lyft
By Corin Gainey
September 26, 2019 5 mins read
Discover how Lyft has integrated Neo4j into their data sharing process and how they test information integrity with Amundsen.
Explore: Connected Data • data discovery • data model • Data Visualization • ETL tool • graph database • graph technology • Knowledge Graph • Lyft • machine learning
Neo4j, ML, AI And Connected Data
By DataArchon - September 24, 2019
Explore: ai • AI / Machine Learning • artificial intelligence • machine learning • ML
How Graphs Enhance Artificial Intelligence
By Jocelyn Hoppa
September 18, 2019 11 mins read
Explore the increasing impact of graph technology on artificial intelligence and the steps toward enhancing AI and ML with a graph database.
Explore: ai • artificial intelligence • feature engineering • graph embeddings • graphconnect • knowledge graphs • machine learning • ML • native learning • neural networks
DeepWalk: Implementing Graph Embeddings in Neo4j
By Jocelyn Hoppa
September 12, 2019 10 mins read
Discover tips and strategies for implementing graph embedding into a Neo4j graph database, with plenty of Cypher examples.
Explore: artificial intelligence • community detection algorithm • deep learning • DeepWalk • graph algorithms • Graph Analytics • graph database • graph embeddings • java • machine learning
AI & Graph Technology: AI Explainability
By David Penick
August 26, 2019 3 mins read
Read the fifth and final installment of our blog series on artificial intelligence and the ways AI explainability adds context for credibility.
Explore: AI / Machine Learning • blog • graph database • Graph Databases • graph platform • graph technology • Knowledge Graph • machine learning • neo4j
AI & Graph Technology: Connections Improve Accuracy
By David Penick
August 19, 2019 2 mins read
Read the fourth installment of this blog series on artificial intelligence on the ways connected feature extraction analyzes data.
Explore: AI / Machine Learning • connected features • graph algorithms • Graph Analytics • graph database • graph platform • Knowledge Graph • machine learning • neo4j • Neo4j Graph Platform
Visualizing This Week in Tech
By Jocelyn Hoppa
August 15, 2019 6 mins read
Learn how to visualize common elements amongst the barrage of weekly tech stories with knowledge graphs and machine learning techniques.
Explore: ai • cypher • Data Visualization • Doc2Vec • graph algorithms • graph model • Knowledge Graph • machine learning • Named Entity Recognition • natural language understanding
AI & Graph Technology: What Are Knowledge Graphs?
By David Penick
August 5, 2019 4 mins read
Read the second installment of this blog series on artificial intelligence on the ways knowledge graphs add context for decision support.
Explore: AI / Machine Learning • artificial intelligence • Graph Algorithm • graph algorithms • graph database • graph technology • Knowledge Graph • machine learning • natural language processing • neo4j
